package com.tedu.lingmaagent.assistant;

import dev.langchain4j.community.model.dashscope.QwenStreamingChatModel;
import dev.langchain4j.service.MemoryId;
import dev.langchain4j.service.SystemMessage;
import dev.langchain4j.service.UserMessage;
import dev.langchain4j.service.V;
import dev.langchain4j.service.spring.AiService;
import dev.langchain4j.service.spring.AiServiceWiringMode;
import reactor.core.publisher.Flux;

@AiService(wiringMode=AiServiceWiringMode.EXPLICIT,streamingChatModel = "qwenStreamingChatModel",chatMemory = "chatMemory",chatMemoryProvider="chatMemoryProvider",tools ="assistantTools")
public interface Assistant {

        /**
         * 重载：方法名不同，个数，顺序，
         */
//        String chat1(@MemoryId int memoryId,@UserMessage String message);

        @SystemMessage(fromResource="static/my-prompt-template.txt")
        Flux<String> chat(@MemoryId int memoryId, @UserMessage String message);
}
